Decision Support System for Selecting Outstanding Religious Counselors in Jambi Province Using Analytical Hierarchy Process and Technique for Order Preference by Similarity to Ideal Solution
DOI:
https://doi.org/10.52436/1.jutif.2025.6.5.5385Keywords:
Analytical Hierarchy Process, Decision Support System, Digital Governance, Religious Counselors, Technique for Order Preference by Similarity to Ideal Solution (TOPSIS)Abstract
Religious counselors play an essential role in fostering religious moderation, strengthening community cohesion, and promoting social harmony. However, the evaluation of their performance remains largely manual, leading to subjectivity, inconsistency, and limited accountability. This study develops a web-based Decision Support System that integrates the Analytical Hierarchy Process and the Technique for Order Preference by Similarity to Ideal Solution to enhance objectivity, transparency, and data-driven evaluation. The Analytical Hierarchy Process was applied to determine the importance of five criteria—portfolio, scientific paper, program video, presentation or interview, and absenteeism—through expert pairwise comparisons. The Technique for Order Preference by Similarity to Ideal Solution was then used to rank twenty-four religious counselors from the Regional Office of the Ministry of Religious Affairs in Jambi Province. The results show that portfolio (47.4%) and presentation or interview (24.4%) were the most influential criteria, while the others served as complementary factors. Counselors with comprehensive documentation and strong communication skills consistently ranked higher, validating the system’s analytical reliability. This study’s novelty lies in applying a multi-criteria decision-making framework within the religious sector, directly aligned with the 2024 Technical Guidelines for the Islamic Religious Counselor Award (Keputusan Dirjen Bimas Islam No. 352/2024). Furthermore, this research supports the Ministry of Religious Affairs’ Eight Priority Transformation Programs (Asta Protas), particularly in digitalizing governance and promoting transparent, accountable, and data-driven management. From an informatics perspective, this system demonstrates the effective implementation of decision-support algorithms in a web-based environment, highlighting the contribution of information technology to evidence-based performance evaluation.
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References
M. Alifuddin and Alhamuddin, “Dynamics of Interfaith Communication in Segregated Communities,” Harmoni, vol. 23, no. 1, pp. 18–34, 2024, doi: 10.32488/harmoni.v23i1.532.
R. L. Prihatini and E. Rustamaji, “Performance of Islamic Religious Counselors in Executing Counseling Function During the COVID 19 Pandemic,” Jurnal Ilmu Dakwah, vol. 42, no. 2, pp. 191–205, 2022, doi: 10.21580/jid.42.2.13344.
U. Huda, I. Suhardi, N. Asyik, and I. Sugiarti, “Diseminasi Moderasi Beragama Melalui Peran Strategis Forum Kerukunan Umat Beragama (FKUB),” Dialog, vol. 47, no. 1, pp. 13–24, 2024, doi: 10.47655/dialog.v47i1.809.
A. Aksa and N. Nurhayati, “MODERASI BERAGAMA BERBASIS BUDAYA DAN KEARIFAN LOKAL PADA MASYARAKAT DONGGO DI BIMA (TINJAUAN SOSIO-HISTORIS),” Harmoni, vol. 19, no. 2, pp. 338–352, 2020, doi: 10.32488/harmoni.v19i2.449.
M. Ikbal, M. dan, and A. Ritonga, “The Role of Islamic Religious Counselors in Strengthening Religious Moderation in Mandailing Natal Regency, North Sumatra, Indonesia,” International Journal of Social Science and Human Research, vol. 7, Jun. 2024, doi: 10.47191/ijsshr/v7-i06-75.
F. Sabri and M. Novriyansyah, “Penerapan Metode Analytical Hierarchy Process (AHP) pada Desain Pemanfaatan Kulong Kebintik,” MEDIA KOMUNIKASI TEKNIK SIPIL, vol. 29, no. 1, pp. 103–112, 2023.
R. Ali, A. Hussain, S. Nazir, S. Khan, and H. U. Khan, “Intelligent decision support systems—An analysis of machine learning and multicriteria decision-making methods,” Applied Sciences, vol. 13, no. 22, p. 12426, 2023, doi: 10.3390/app132212426.
R. E. Diansari, A. A. Musah, and J. Binti Othman, “Factors affecting village fund management accountability in Indonesia: The moderating role of prosocial behaviour,” Cogent Business & Management, vol. 10, no. 2, p. 2219424, Dec. 2023, doi: 10.1080/23311975.2023.2219424.
A. Virani and Z. van der Wal, “Enhancing the Effectiveness of Public Sector Performance Regimes: A Proposed Causal Model for Aligning Governance Design with Performance Logics,” Perspect Public Manag Gov, vol. 6, no. 1, pp. 54–65, Mar. 2023, doi: 10.1093/ppmgov/gvac026.
F. Tayalati, I. Boukrouh, L. Bouhsaien, A. Azmani, and M. Azmani, “DESIGN OF COMBINED AHP-TOPSIS MODEL FOR OPTIMIZING THE SELECTION OF INJECTION MOLDING MACHINES,” International Journal of Engineering, vol. 38, pp. 488–502, 2024, doi: 10.5829/ije.2025.38.02b.21.
A. Bagas and N. Setiyawati, “SISTEM PENDUKUNG KEPUTUSAN PEMBERIAN KREDIT MENGGUNAKAN ALGORITMA C4.5 DAN METODE ANALYTICAL HIERARCHY PROCESS,” Jurnal Ilmu Pengetahuan dan Teknologi Komputer (JITK), vol. 6, no. 1, pp. 73–82, 2020, doi: 10.33480/JITK.V6I1.1409.
B. K. Khotimah, D. R. Anamisa, Y. Kustiyahningsih, A. N. Fauziah, and E. Setiawan, “Enhancing Small and Medium Enterprises: A Hybrid Clustering and AHP-TOPSIS Decision Support Framework,” Ingénierie des Systèmes d’Information, vol. 29, no. 1, pp. 313–321, 2024, doi: 10.18280/isi.290131.
K. Suroto and H. Hasbullah, “Selection lead logistics provider in consumer goods using AHP – TOPSIS approach,” Sinergi, vol. 27, no. 2, pp. 185–192, 2023, doi: 10.22441/sinergi.2023.2.006.
I. K. A. Wijaya, G. R. Dantes, and I. M. Candiasa, “Implementasi Sistem Pendukung Keputusan Pemilihan Guru dan Siswa Berprestasi dengan Kombinasi Metode Analytical Hierarchy Process dan Technique for Order Preference by Similarity to Ideal Solution,” Jurnal Nasional Pendidikan Teknik Informatika : JANAPATI, vol. 10, no. 2, pp. 77–90, 2021, doi: 10.23887/janapati.v10i2.29386.
D. Guswandi, M. Yanto, M. Hafizh, and L. Mayola, “Analisis Hybrid Decision Support System dalam Penentuan Status Kelulusan Mahasiswa,” Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi), vol. 5, no. 6 SE-Information Systems Engineering Articles, Dec. 2021, doi: 10.29207/resti.v5i6.3587.
A. Yudhana, R. Umar, and A. B. F. Fawait, “Integration Integration of AHP and TOPSIS Methods for Small and Medium Industries Development Decision Making,” Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi), vol. 6, no. 5, pp. 719–727, 2022.
B. Suprapto, Monograf Model Sistem dan Penerapan Metode Analytical Hierarchy Process (AHP) Pada Sistem Pendukung Keputusan. in Metode Analytical Hierarchy Process (AHP). Purwokerto: Zahira Media Publisher, 2022.
D. Sharma, S. Sridhar, and D. Claudio, “Comparison of AHP-TOPSIS and AHP-AHP methods in multi-criteria decision-making problems,” International journal of industrial and systems engineering, vol. 34, no. 2, pp. 203–223, 2020.
P. K. Parida, S. P. Baral, and S. K. Sahoo, “TOPSIS method for multi-criteria decision making in fuzzy environment,” Int J Electr Eng Technol, vol. 12, no. 11, pp. 122–130, 2021.
S. S. Goswami and D. K. Behera, “An Analysis for Selecting Best Smartphone Model by AHP-TOPSIS Decision-Making Methodology,” International Journal of Service Science, Management, Engineering, and Technology, vol. 12, no. 3, pp. 116–137, 2021, doi: 10.4018/IJSSMET.2021050107.
D. S. Costa, H. S. Mamede, and M. M. da Silva, “A method for selecting processes for automation with AHP and TOPSIS,” Heliyon, vol. 9, no. 3, p. e13683, 2023, doi: 10.1016/j.heliyon.2023.e13683.
N. T. Tran, T. H. Nguyen, and H. T. Dang, “An Integrated Approach of Fuzzy AHP-TOPSIS for Multi-Criteria Decision-Making in Robot Selection,” Processes, vol. 12, no. 8, p. 1723, 2024, doi: 10.3390/pr12081723.
A. A. Al-Khafaji, A. K. Al-Bayati, and M. A. Al-Quraishi, “Continuous Performance Evaluation of Employees Using AHP and Modified Pugh Matrix Method: Contrasting with TOPSIS, PROMETHEE and VIKOR,” International Journal of the Analytic Hierarchy Process, vol. 16, no. 1, pp. 1–15, 2024, doi: 10.13033/ijahp.v16i1.1129.
R. Prakash, P. Sharma, and R. Singh, “A Combined AHP–TOPSIS Model for the Selection of Employees for Promotion,” in Lecture Notes in Networks and Systems, vol. 758, S. Ghosh, A. Saha, and S. Banerjee, Eds., Cham, Switzerland: Springer Nature, 2023, pp. 175–187. doi: 10.1007/978-3-031-77040-1_13.
A. Herdiansah, “Sistem Pendukung Keputusan Referensi Pemilihan Tujuan Jurusan Teknik di Perguruan Tinggi Bagi Siswa Kelas XII IPA Mengunakan Metode AHP,” MATRIK : Jurnal Manajemen, Teknik Informatika dan Rekayasa Komputer, vol. 19, no. 2, May 2020, doi: https://doi.org/10.30812/matrik.v19i2.579.
T. Javanbakht, “Optimization of Beverage Formulation with Technique for Order of Preference by Similarity to Ideal Solution,” Beverages, vol. 11, no. 2, 2025, doi: 10.3390/beverages11020038.
D. Kacprzak, “A Novel Extension of the Technique for Order Preference by Similarity to Ideal Solution Method with Objective Criteria Weights for Group Decision Making with Interval Numbers,” Entropy, vol. 23, no. 11, 2021, doi: 10.3390/e23111460.
Y. Masita, S. Siswanto, and R. T. Alinse, “The implementation of Analytical Hierarchy Process (AHP) method in selecting outstanding students,” Jurnal Media Computer Science, vol. 4, no. 1, 2025, doi: 10.37676/jmcs.v4i1.7538.
R. P. Sihombing, A. M. Arsani, R. C. Puspitarini, and H. W. Wiranegara, Analytic Hierarchy Process (AHP) dalam Berbagai Software. Banten: Minhaj Pustaka, 2024.
Kusrini, Konsep dan Aplikasi Sistem Pendukung Keputusan. Yogyakarta: Penerbit Andi, 2021.
D. L. Fitri and A. Supriyanto, “Implementation of the Ahp-Topsis Method in Decision Making of Social Assistance Recipients in Karanganyar Gunung Semarang,” Jurnal Teknik Informatika (Jutif), vol. 3, no. 6, pp. 1483–1490, 2022.
W. Setiani, R. Pahlevi, and T. S. Dewayana, “Decision Support System for Raw Material Supplier Selection by Using Fuzzy AHP-TOPSIS Method,” Jurnal Teknik Informatika (JUTIF), vol. 5, no. 3, pp. 192–199, 2023, doi: 10.52436/1.jutif.5.3.2540.
B. Alavi, M. Tavana, and H. Mina, “A dynamic decision support system for sustainable supplier selection in circular economy,” Sustain Prod Consum, vol. 27, pp. 905–920, 2021, doi: 10.1016/j.spc.2021.02.015.
V. Vranic, “Use Case Modeling in a Research Setting of Developing an Innovative Tourist Information System,” Univers Access Inf Soc, 2024, doi: 10.1007/s10209-023-01047-1.
W. Septiani, R. Pahlevi, and T. S. Dewayana, “Decision Support System for Raw Material Supplier Selection by Using Fuzzy AHP-TOPSIS Method,” in AIP Conference Proceedings, Jakarta, 2023, p. 020013. doi: 10.1063/5.0104985.
B. F. A. Santoso and I. Susilawati, “THE DECISION SUPPORT SYSTEM OF PUBLIC SERVICE SATISFACTION USING TOPSIS METHOD AT REGIONAL I BKN YOGYAKARTA,” Jurnal Teknik Informatika (Jutif), vol. 2, no. 1, pp. 27–32, 2021, doi: 10.20884/1.jutif.2021.2.1.42.
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